1. THE PHILIPS NEXPERIA DIGITAL VIDEO PLATFORM

2. The Digital Video Revolution  Transition from Analog to Digital Video  Navigate, store, retrieve and share digital programs as well as access to new interactive services and connectivity possibility  Home entertainment systems will be implemented with a number of Digital Video appliances  Digital Televisions (DTVs)  DVD Players  Digital Video Recorders  Set-top Boxes

3. The Philips Nexperia Platform Approach  Philips Semiconductors decided to serve the application domains of digital video and mobile with a platform approach : Nexperia  Nexperia : ‘next experience’  Nexperia platform properties  Flexibility  Innovation  Future-proof  Using architecture framework and IP blocks

4. Nexperia-DVP Platform Conceps  Nexperia-DVP is a Reference Architecture  A set of documents the describes how the products of the Digital Video Product Family will be partitioned into subsystems and how functionality will be split over theses subsystems.  Nexperia-DVP Soc Reference Architecture  Nexperia-DVP Software Reference Architecture  Nexperia-DVP System Reference Architecture

5. Nexperia-DVP SoC Reference Architecture. Scalable VLIW Media Processor:  100 to 300+ MHz  32-bit or 64-bit Nexperia ™ System Buses  32-128 bit General-purpose Scalable RISC Processor  50 to 300+ MHz  32-bit or 64-bit Library of Device IP Blocks  Image coprocessors  DSPs  UART  1394  USB …and more TM-xxxxD$ I$ TriMedia CPU DEVICE IP BLOCK............ DVP SYSTEM SILICON PI BUS SDRAM MMI DVP MEMORY BUS DEVICE IP BLOCK PRxxxx D$ I$ MIPS CPU DEVICE IP BLOCK...... PI BUS TriMedia ™ MIPS ™

6. Three Levels of Abstraction Level 1 : DVP Software-Hardware Rules  Deals with the software view of the hardware  Unified Memory Architecture  Rules for Data Movement  Endianess  Ordering & Coherency  Interrupts  Data formats, including Pixel Formats  Trimedia-MIPS Communication  Protection  Boot

7. Three Levels of Abstraction Level 2 : Device Transaction Level (DTL)  Deals with point-to-point transfers between Device IPs and the Connection Network, specifying a Device IP partition and architecture that is compatible with Level 1  Two main types of ports : Typical of Device IP  Device Control & Status Ports  DMA ports

8. Three Levels of Abstraction Level 3 : Connection Network  Deals with the more traditional Bus Hierarchy & Bus Level  In second generation Nexperia-DVP  The Device Control & Status (DCS) Network - Primarily a low latency communication path for the CPUs and other initiators to access the control & status register in the Device IPs  The Memory Connection Network - It will automate the generation of structures - current generation is implemented with two key elements : Memory Transaction Level (MTL) ports and protocol & Pipelined Memory Access Network

9. Chiplet-based Design  Chiplet : partitioning divides the logic hierarchy into manageable sized blocks  A chiplet is a group of modules which are placed together because either they are synchronous to each other or they are not timing critical.

10. Chiplet-based Design (Cont.)  The partitioning of the top-level netlist among chiplets followed these guidelines  There should be as few synchronous signal crossings between chiplets as possible  The clock module is placed into a separate chiplet because of its complexity  Cross-chiplet scan chains are not allowed

11. Nexperia-DVP Software Architecture  Scalable from low-end to high-end  Consistent API (on MIPS or TriMedia)  Single Streaming Architecture for MIPS and TriMedia  Aligned to Nexperia-DVP hardware architecture and IP blocks  Operating system independent software layers  Re-use of software components on any instance of the platform

12. Nexperia-DVP System Reference Architecture  Performance Characteristics  The system must work under normal conditions  The system must have a given (short) maximum input/output delay  The system must behave gracefully under exceptional condition  The system must be as cost effective as possible  Critical Resources  Memory Bandwidth  CPU Cycles  (RAM) Memory Size

13. Effect of bandwidth on transaction latency  The memory transaction latency experienced by a CPU is influenced by four different factors  Minimum transaction cost  Transactions of other blocks that take precedence  Pending transactions of blocks that do not take precedence  Other transactions of the CPU itself

14. Effect of transaction latency on CPU performance  Typical average behavior of two types of code on a Nexperia-DVP system DSP codeControl Code Characteristics Long expressions Highly repetitive loops Lots of switch/if statements Many function calls Working Set Size Typically smaller than CPUs I-cache size Typically much larger than CPUs I-cache size Typical instruction repetition rate before cache line invalidate 40 or moreBetween 1 and 3 Typical CPU stall cycles due to cache misses on moderately loaded system 20% and below on TM80% and above on TM 60% and above on MIPS Predominant Cache Misses D-CacheI-Cache Typical bandwidth consumed for each effective CPU Mcycle 400KB/s on TM6.4MB/s on TM 1.5MB/s on MIPS

15. Memory Arbitration  To regulate the distribution of available bandwidth over the requesting blocks : Utilize an advanced DDR arbitration scheme  Fair distribution of bandwidth over requesting blocks  Shortest possible transaction latency for CPUs  Nexperia-DVP memory arbiter deploys a sophisticated algorithm for distribution of bandwidth over requesting blocks  Guaranteed bandwidth  Priority based distribution of remainder

16. Scheduling Techniques  Scheduling of Hardware Accelerators time A1 A2 “Perform A2 after A1 is finished” “Run slice of A2 when A1 finished a slice” “Start A2 after a slice of A1, and guarantee that A2 will not overtake A1”

17. Scheduling Techniques (Cont.)  Properties of Scheduling Techniques SequencingSlicingStaggering Software effortLowest Higher, depends on slice size Low Buffer memoryLargestSmallestMiddle Input/output delayLongestShorter Requires of processors Nothing Must support slicing Must be sequential and localized